Lead Analytics Engineer driving digital analytics for CX in a high - tech environment. Focus on MarTech, data pipelines, and event tracking across multiple platforms.
About the role
- Analytics Engineer responsible for building reliable ETL/ELT pipelines in a hybrid workspace. Collaborating with various teams in Barcelona to ensure data-driven insights and improvements.
Responsibilities
- Design, build, and maintain reliable, tested, and well documented ETL and ELT pipelines and DBT models
- Work with stakeholders across the business to understand data needs and translate them into high quality, reusable data products
- Identify gaps and improvement areas across the data ecosystem and shape the analytics engineering roadmap
- Build and maintain self-service tools and datasets that allow engineers, data scientists, and analysts to get to insights quickly
- Partner with Product Engineering, Data Science, and Analytics teams to enable effective use of the data platform
- Investigate and resolve data related bugs and technical issues in platform tooling and DBT models
- Contribute to and lead cross-team data projects with a focus on reliability, efficiency, and testability
Requirements
- 4 or more years of experience in data engineering, analytics engineering, BI engineering, software engineering, or data science
- Strong Python skills with a focus on writing clean, high quality, maintainable code
- Advanced SQL skills including writing, tuning, and debugging queries against large, multi-source datasets
- Proven experience building ETL or ELT pipelines that are reliable, monitored, and easy to maintain
- Experience gathering requirements from stakeholders and translating them into well structured datasets
- Comfortable communicating and collaborating across both technical and non-technical teams
- Familiarity with the majority of the tech stack listed above
Benefits
- 21 days paid time off
- Relocation assistance available
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